Seasonal Prediction of the Quasi-Biennial Oscillation

被引:7
|
作者
Coy, L. [1 ,2 ]
Newman, P. A. [1 ]
Molod, A. [1 ]
Pawson, S. [1 ]
Alexander, M. J. [3 ]
Holt, L. [3 ]
机构
[1] NASA, Goddard Space Flight Ctr, Code 916, Greenbelt, MD 20771 USA
[2] Sci Syst & Applicat Inc, Lanham, MD 20706 USA
[3] Normwest Res Associates, Boulder, CO USA
关键词
Quasi-Biennial Oscillation; stratosphere prediction; WIND; REPRESENTATION; DISRUPTION; DYNAMICS; MJO;
D O I
10.1029/2021JD036124
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The ability to forecast the Quasi-Biennial Oscillation (QBO) was examined using Version 2 of NASA's Global Earth Observing System Subseasonal-to-Seasonal (GEOS-S2S) forecasting system. The vertical and time structure of the QBO was characterized by the principal components of the first two empirical orthogonal functions (EOFs). A set of 9-month retrospective forecasts was initialized four times each month between 1981 and early 2019. Validation of 1-9 months forecasts from GEOS-S2S showed that the S2S retrospective QBO forecasts improved skill in predicting the QBO EOF-based amplitude and phase over a simple QBO phase propagation model at forecast lead times of 1-3 months. Results from an initial assessment of whether more accurate QBO forecasts can improve Northern Hemisphere winter sea level pressure forecasts showed no significant forecast improvement at a 1-month lead time, indicating the need for improved stratosphere-troposphere QBO coupling metrics, pathway identification, and QBO modeling. Overall, these results suggest that future improvements in representing the QBO in global models can increase the skill of 1-3 months QBO forecasts and potentially extend useful QBO forecasts beyond 3 months.
引用
收藏
页数:15
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